[1] Henriques J F, Caseiro R, Martins P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]//European Conference on Computer Vision. Berlin: Springer, 2012: 702-715.
[2] Bhat G, Johnander J, Danelljan M, et al. Unveiling the power of deep tracking[C]//Proceedings of the European Conference on Computer Vision (ECCV), 2018: 483-498.
[3] Bertinetto L, Valmadre J, Henriques J F, et al. Fully-convolutional siamese networks for object tracking[C]//European Conference on Computer Vision. Cham: Springer, 2016: 850-865.
[4] Li B, Yan J, Wu W, et al. High performance visual tracking with siamese region proposal network[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 8971-8980.
[5] Zhu Z, Wang Q, Li B, et al. Ditrator-aware siamese networks for visual object tracking[C]//Proceedings of the European Conference on Computer Vision(ECCV), 2018: 101-117.
[6] Wu Y, Lim J, Yang M H. Online object tracking: A benchmark[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013: 2411-2418.
[7] Zhang K, Zhang L, Liu Q, et al. Fast visual tracking via dense spatio-temporal context learning[C]//European Conference on Computer Vision. Cham: Springer, 2014: 127-141.
[8] Zhang K, Zhang L, Yang M H. Real-time compressive tracking[C]//European Conference on Computer Vision. Berlin: Springer, 2012: 864-877.
[10] Luke■i■ A, Vojí■ T, Zajc L ■, et al. Discriminative correlation filter tracker with channel and spatial reliability[J]. International Journal of Computer Vision, 2018, 126(7): 671-688.
[11] Diaconis P, Freedman D. Asymptotics of graphical projection pursuit[J]. The Annals of Statistics, 1984, 12(3): 793-815.
